AI (AI) data encyclopedia _artificial

Http://www.techug.com/awesome-artificial-intelligence

Here is a collection of tutorials, books, video lectures and essays on AI.

You are welcome to provide more information. Online Tutorial mit ai Video Tutorials  – mit AI Course Artificial Intelligence Primer  – Artificial Intelligence Foundation learning. Peter Norvig Courses EdX Artificial Intelligence  – This course teaches the basic concepts and techniques of artificial intelligence computer system design. Planning  – Plan in artificial intelligence is one of the basic parts of artificial intelligence system. In this lesson, you will learn the basic algorithms needed to get a robot to perform a series of actions. Robot Artificial Intelligence  – This course will teach you the basics of artificial intelligence, including: probabilistic projections, planning and searching, localization, tracking, and control, all around the design of robots. Machine learning  – Basic machine learning algorithm with guidance and no guidance the neural network in machine learning  – algorithm and practical experience on intelligent Neural Network Stanford Statistical Learning  -introductory Course on machine Learning focusing on:linear and polynomial regression, logistic regression and linear discriminant analysis; Cross-validation and the bootstrap, model selection and regularization methods (ridge and Lasso); Nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; Support-vector machines. AI Books Artificial Intelligence: A modern Method  stuart Russell & Peter Norvig the Cambridge Handbook of Artificial intelligence – suitable for non-professional persons Reading, this book covers the basic principles, main theories and main areas of study, as well as related topics such as artificial life. The emotion machine:commonsense thinking, Artificial Intelligence, and the Future of the Human in thisThe science pioneer continued his highly creative research and presented us with a completely new and incredible mode of human brain operation. Artificial intelligence:a new synthesis – from the particle reaction, Nilsson gradually showed us the most important and newest concepts in artificial intelligence. Programming Prolog programming for Artificial intelligence – this best-selling book for Prolog and AI focuses on the basic mechanism for solving interesting AI problems using the Proglog language program. AI algorithms, Data structures and idioms in Prolog, Lisp and java – pdf the principles of Artificial intelligence superintelligence – book Q: What if machines are smarter than humans. It's a very good book. Our final invention:artificial Intelligence and the end of the Human Era –our Final invention explores the perils O f the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And would they allow us to? How to Create a mind:the Secret of Human thought Revealed –ray kurzweil--Google's technical director--shows us how the brain works with reverse engineering, and then uses these Knowledge to create artificial intelligence machines. Free reading foundations of computational agents – This book was published by Cambridge University Press in 2010. The Quest for Artificial intelligence – The book reviews the history of artificial intelligence, from the early 18th century ancestors ' dreams to today's many successful AI technologies. Program Code AThe approach Lisp source code in the book "Artificial Intelligence A Modern common" by IMA Lisp sources code –. Video/speech the unreasonable effectiveness of Deep learning –dr. Yann lecun--, director of the Facebook AI research He gave us an in-depth explanation of artificial intelligence neural networks and their application to machine learning. Machine learning Deep Learning. Methods and applications  are free readings from Microsoft Labs. Neural Networks and Deep learning –neural Networks and Deep Learning currently provide the best solutions to many PR Oblems in image recognition, speech recognition, and natural language. This book would teach you the core concepts behind neural networks and deep learning Machine learning:a probabilistic Pers pective – This little book gives a detailed introduction to machine learning Deep Learning –yoshua Bengio, Ian Goodfellow and Aaron Courville put together this Currently free (and draft version) book on Deep Learning. The book are kept up-to-date and covers a wide range of topics in depth (up to and including sequence-to-sequence learning) . Other Open congition project – we are trying to develop a machine with the ability to think.